CN110458193A - Garbage classification processing method, apparatus and system, computer equipment and readable medium - Google Patents
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Abstract
The present invention provides a kind of garbage classification processing method, apparatus and system, computer equipment and readable medium, is related to field of cloud calculation.Its method includes: the characteristic information for acquiring rubbish；The characteristic information of the rubbish includes at least one of contour images, appearance images, apparent text information and compositional information of the rubbish；Garbage classification model trained according to the characteristic information of the rubbish and in advance, obtains the classification of the rubbish.The present invention by using above-mentioned technical proposal, can intelligently, be automatically realized the classification of rubbish, whole process does not need manually to participate in, and can effectively improve the classification effectiveness of rubbish, and can effectively guarantee the accuracy of garbage classification.
Description
[technical field]
The present invention relates to computer application technology more particularly to a kind of garbage classification processing method, apparatus and system,
Computer equipment and readable medium.
[background technique]
With economic rapid development, the continuous growth of population and the increasingly raising of living standards of the people, house refuse
Yield also sharply increase, very big burden is caused to environment, affects the basis of sustainable development, constrains national warp
The further development of Ji.Innoxious, minimizing and recycling principle and target are how followed, these rubbish are handled, from
Fundamentally solve the problems, such as that rubbish becomes present society all circles to the harm of environment and extremely pays close attention to.
In the prior art, it for different rubbish, needs to handle using different trash processing way, such as some rubbish
Rubbish can be with recycling and reusing, and some rubbish need the processing such as to fill or burn.If some need the chemical rubbish of specially treated
Rubbish is erroneously interpreted as the rubbish for needing to fill, will lead to environmental pollution very serious.So being sure to before to garbage disposal
Effectively to be classified to rubbish.Therefore, garbage classification is a very important job in garbage disposal.The prior art
In, the most common refuse classification method is by manually classifying to waste items.
But during existing garbage classification, manual sorting is time-consuming and laborious, the efficiency of garbage classification is lower, and accurate
Property is also poor.
[summary of the invention]
The present invention provides a kind of garbage classification processing method, apparatus and system, computer equipment and readable mediums, are used for
Improve the efficiency and accuracy of garbage classification.
The present invention provides a kind of garbage classification processing method, which comprises
Acquire the characteristic information of rubbish；The characteristic information of the rubbish include the contour images of the rubbish, appearance images,
At least one of apparent text information and compositional information；
Garbage classification model trained according to the characteristic information of the rubbish and in advance, obtains the classification of the rubbish.
The present invention provides a kind of refuse classification processing equipment, and described device includes:
Acquisition module, for acquiring the characteristic information of rubbish；The characteristic information of the rubbish includes the profile of the rubbish
At least one of image, appearance images, apparent text information and compositional information；
Categorization module, for garbage classification model trained according to the characteristic information of the rubbish and in advance, described in acquisition
The classification of rubbish.
The present invention also provides a kind of garbage classification system, the garbage classification system includes garbage classification dress as described above
It sets；It further include at least one of x-ray instrument, camera, OCR Text region instrument and spectroanalysis instrument and at least one
A communication module；
Each communication module is used for the corresponding x-ray instrument, the camera, the OCR Text region instrument
Or the characteristic information of the collected rubbish of spectroanalysis instrument, it is sent to the garbage classification device.
The present invention also provides a kind of computer equipment, the equipment includes:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes garbage classification processing method as described above.
The present invention also provides a kind of computer-readable mediums, are stored thereon with computer program, which is held by processor
Garbage classification processing method as described above is realized when row.
Garbage classification processing method, apparatus and system, computer equipment and readable medium of the invention, by acquiring rubbish
Characteristic information；The characteristic information of the rubbish include the contour images of rubbish, appearance images, apparent text information and at
At least one of part information；Garbage classification model trained according to the characteristic information of rubbish and in advance, obtains the classification of rubbish.
Technical solution of the present invention, can intelligently, be automatically realized the classification of rubbish, whole process does not need manually to participate in, Neng Gouyou
Effect ground improves the classification effectiveness of rubbish, and can effectively guarantee the accuracy of garbage classification.
[Detailed description of the invention]
Fig. 1 is the flow chart of garbage classification processing method embodiment one of the invention.
Fig. 2 is the flow chart of garbage classification processing method embodiment two of the invention.
Fig. 3 is the flow chart of garbage classification processing method embodiment three of the invention.
Fig. 4 is the flow chart of garbage classification processing method example IV of the invention.
Fig. 5 is the structure chart of refuse classification processing equipment embodiment one of the invention.
Fig. 6 is the structure chart of refuse classification processing equipment embodiment two of the invention.
The structure chart of garbage classification system embodiment Fig. 7 of the invention.
Fig. 8 is the structure chart of computer equipment embodiment of the invention.
Fig. 9 is a kind of exemplary diagram of computer equipment provided by the invention.
[specific embodiment]
To make the objectives, technical solutions, and advantages of the present invention clearer, right in the following with reference to the drawings and specific embodiments
The present invention is described in detail.
Fig. 1 is the flow chart of garbage classification processing method embodiment one of the invention.As shown in Figure 1, the rubbish of the present embodiment
Rubbish classification processing method, can specifically include following steps:
S100, the characteristic information for acquiring rubbish；The characteristic information of the rubbish include the contour images of rubbish, appearance images,
At least one of apparent text information and compositional information；
S101, characteristic information and garbage classification model trained in advance according to rubbish, obtain the classification of rubbish.
The executing subject of the garbage classification processing method of the present embodiment is refuse classification processing equipment, garbage classification processing
Device can be the application of an electronic entity or an Integrated Simulation, in use, inputting to the refuse classification processing equipment
The characteristic information of rubbish, the refuse classification processing equipment can be realized based on garbage classification model trained in advance to the rubbish
Rubbish is classified.
That is, garbage classification model trained in advance is embedded in the refuse classification processing equipment of the present embodiment, it should
Garbage classification model can be realized and be classified to rubbish based on the characteristic information of collected rubbish.
In the present embodiment, the characteristic information of the rubbish of acquisition may include: the contour images of rubbish, appearance images, appearance
On text information and at least one of compositional information.
The contour images for wherein acquiring rubbish can specifically be obtained by obtaining the contour images of the rubbish of x-ray instrument scanning
It arrives；
The appearance images for acquiring rubbish can specifically be obtained by obtaining the appearance images of the rubbish of camera shooting；
The apparent text information for acquiring rubbish can be by obtaining optical character identification (Optical Character
Recognition；OCR) the apparent text information that Text region instrument identifies the appearance of rubbish；
Acquire rubbish compositional information can by obtain spectroanalysis instrument analysis rubbish spectral information, and further
Spectral information analysis based on rubbish obtains.Spectroanalysis instrument is had different spectrum, be can analyze out based on different substances
Included different substances such as element in rubbish, so as to analyze the compositional information of rubbish.Further, spectrum point
Analyzer can also be based further on other information, thus it is speculated that chemical molecular formula of rubbish etc..
Garbage classification model trained in advance can use the rubbish of preset several classification in training in the present embodiment
Characteristic information be trained, in this way, when in use, after the characteristic information input of the rubbish, which can be defeated
The rubbish belongs to the probability of each classification out.For example, if the quantity of preset classification is N, in use, garbage classification model base
In rubbish characteristic information export be a 1*N vector, wherein the value of each position in vector be the position it is corresponding
The probability of garbage classification.Wherein N is any positive integer.For example, the classification of rubbish may include textile rubbish in practical application
Rubbish, paper product rubbish, chemical raw material rubbish, inflammable and explosive rubbish, electronic waste, food garbage etc., according to practical application request,
It only can include several classification, hundreds of can also be enriched according to the exhaustive division of rubbish roughly according to the major class of rubbish
Classification.
When specifically used, contour images, appearance images, apparent text that the characteristic information of rubbish includes rubbish are believed
At least one of breath and compositional information are input in garbage classification model trained in advance, and it is pre- to obtain garbage classification model
Classification of the classification of the maximum probability of survey as rubbish.
It should be noted that the garbage classification model of the present embodiment is the contour images for using rubbish, appearance in training
What the information of which type in image, apparent text information and compositional information was trained, in prediction garbage classification
In use, garbage classification prediction can be carried out using the information of corresponding type.That is, the information used when training
The type of type and the information inputted when prediction has to be consistent.
Still optionally further, the garbage classification processing method of the present embodiment, after step slol,
According to the characteristic information of rubbish and in advance trained garbage classification model can be with after the classification for obtaining rubbish
Include the following steps:
(a) judge whether the classification of rubbish belongs to the classification of preset first kind dangerous garbage；If so, executing step (b)；
Otherwise, any operation wouldn't be executed.
(b) alert.
The first kind dangerous garbage of the present embodiment can be inflammable and explosive rubbish or the rubbish with chemical contamination etc.
Equal dangerous garbages.If garbage classification model prediction is the first kind dangerous garbage to the rubbish, the processing of the garbage classification at this time is filled
It sets and is also provided with alarm module and rubbish can be handled in time convenient for staff, avoid rubbish with alert
The harm of rubbish bring.
Further, the garbage classification processing method of the present embodiment can also include after step slol display rubbish
Classification.That is, the refuse classification processing equipment of the present embodiment is also provided with display module, to show the rubbish
Classification, such staff can see that the classification information of rubbish can be handled in time the rubbish of classification of risks in time,
Rubbish bring is avoided to endanger.
The garbage classification processing method of the present embodiment, by the characteristic information for acquiring rubbish；The characteristic information packet of the rubbish
Include at least one of contour images, appearance images, apparent text information and the compositional information of rubbish；According to rubbish
Characteristic information and garbage classification model trained in advance, obtain the classification of rubbish.The technical solution of the present embodiment, can be intelligent
Ground, the classification for being automatically realized rubbish, whole process do not need manually to participate in, and can effectively improve the classification effectiveness of rubbish, and energy
Enough accuracys for effectively guaranteeing garbage classification.
Fig. 2 is the flow chart of garbage classification processing method embodiment two of the invention.As shown in Fig. 2, the rubbish of the present embodiment
Rubbish classification processing method, can specifically include following steps:
S200, the characteristic information for acquiring rubbish；The characteristic information of the rubbish include the contour images of rubbish, appearance images with
And at least one of apparent text information；
S201, characteristic information and garbage classification model trained in advance according to rubbish, obtain the classification of rubbish；And conduct
Preliminary classification；
The realization of the step S200 and step S201 of the present embodiment and the step S100 of above-mentioned embodiment illustrated in fig. 1 and
S101, difference are only that the characteristic information of the rubbish of the present embodiment includes the contour images of rubbish, appearance images and in appearance
At least one of text information, without the compositional information including rubbish, the step of remaining is with above-mentioned embodiment illustrated in fig. 1
S100 is identical with S101, can record in detail with reference to the related of above-mentioned embodiment illustrated in fig. 1, details are not described herein.
S202, judge rubbish preliminary classification whether be preset second class dangerous garbage classification；If so, executing step
S203；Otherwise, terminate.
The second class dangerous garbage of the present embodiment can be drugs rubbish, drug rubbish or other Harmful Waste, can be with
Further progress depth recognition, to identify the preliminary classification of rubbish more accurately.
That is, it is i.e. exportable to only pass through preliminary classification at this time for the classification for being unsuitable for the second class dangerous garbage
Classification results.
S203, the spectral information for acquiring rubbish；And the spectral information based on rubbish obtains the compositional information of the rubbish；It holds
Row step S204；
Realizing for the step can be with reference to the explanation of correlation step shown in Fig. 1, and details are not described herein.
S204, according at least one of the contour images of rubbish, appearance images and apparent text information and rubbish
The compositional information of rubbish, the preliminary classification of rubbish and depth garbage classification model trained in advance, obtain the secondary classification of rubbish.
The present embodiment and the difference of above-mentioned embodiment illustrated in fig. 1 are: garbage classification is carried out in above-mentioned embodiment illustrated in fig. 1
When processing, first-level class is only carried out, accordingly only with a kind of garbage classification model.And at the garbage classification of the present embodiment
When reason, on the basis of the technical solution of above-mentioned embodiment illustrated in fig. 1, for the Harmful Waste such as certain drugs, drug, Ke Yizai
Using a kind of depth garbage classification model, secondary classification is carried out to rubbish, hence for Harmful Waste, realization divides more accurately
Class avoids the harm of rubbish in order to precisely be handled Harmful Waste.
Similarly, the depth garbage classification model of the present embodiment training when, need using the characteristic information of several rubbish come
Training, the characteristic information of every rubbish include in the contour images of rubbish, appearance images and apparent text information extremely
Lack compositional information information training together with the preliminary classification of rubbish of one and rubbish.Specifically, for the profile diagram of rubbish
Which at least one of picture, appearance images and apparent text information include when training, and is predicted in garbage classification
When, it is also desirable to including which.
The garbage classification processing method of the present embodiment can carry out two to Harmful Waste by using above-mentioned technical proposal
Grade classification can be realized and classify more accurately to Harmful Waste progress, in order to precisely be handled Harmful Waste, avoids
The harm of rubbish.And the technical solution of the present embodiment, can intelligently, be automatically realized the classification of rubbish, whole process does not need
It is artificial to participate in, the classification effectiveness of rubbish can be effectively improved, and can Harmful Waste be carried out with secondary classification, further effectively
Ground ensure that the accuracy of garbage classification.
Fig. 3 is the flow chart of garbage classification processing method embodiment three of the invention.As shown in figure 3, the rubbish of the present embodiment
Rubbish classification processing method, can specifically include following steps:
S300, several training datas are acquired, the characteristic information of rubbish is trained in each training data and trains rubbish
Known classification；The characteristic information of each trained rubbish includes contour images, appearance images, the apparent text information of trained rubbish
And at least one of compositional information；
S301, the characteristic information according to each item training rubbish and corresponding known classification, training garbage classification model.
Similarly, in the present embodiment, each characteristic information of training rubbish includes the contour images of trained rubbish, outside drawing
At least one of picture, apparent text information and compositional information carry out rubbish using which feature training when training
When classification prediction, just predicted using corresponding characteristic information.
When specific training, the characteristic information of each item training rubbish is input in garbage classification model, the garbage classification mould
Type can predict a garbage classification based on the characteristic information of the training rubbish of existing parameter and input.Then judgement prediction
Classification and it is known classification it is whether consistent, if inconsistent, adjust garbage classification model parameter so that garbage classification model prediction
Classification with it is known classification reach unanimity.Characteristic information and corresponding known classification using several training rubbish, according to above-mentioned
Mode is constantly trained garbage classification model, until frequency of training reaches preset times threshold value or continuous default wheel
The classification predicted in several training is consistent with known classification always, and training terminates at this time, determines the parameter of garbage classification model, into
And determine garbage classification model.
The training rubbish of the present embodiment can be any rubbish, as textile rubbish, paper product rubbish, chemical raw material rubbish,
Inflammable and explosive rubbish, electronic waste, food garbage etc..
The garbage classification model of the present embodiment training is handled for realizing the garbage classification of above-mentioned embodiment illustrated in fig. 1.
The executing subject of the garbage classification processing method of the present embodiment can be consistent with above-mentioned Fig. 1, is handled by garbage classification
Device comes together to realize.First garbage classification model and depth garbage classification model are instructed by refuse classification processing equipment
Practice, trained garbage classification model is then based on by refuse classification processing equipment, using the technology of above-mentioned embodiment illustrated in fig. 1
Scheme realizes the first-level class of rubbish.
Or the executing subject of the garbage classification processing method of the present embodiment, it may also be distinct from that and implement shown in above-mentioned Fig. 1
The executing subject of example is the training device of a garbage classification model independently of refuse classification processing equipment.When specifically used,
The garbage classification model and depth garbage classification model are first trained by the training device of garbage classification model, then at garbage classification
Device is managed when classifying to rubbish, trained garbage classification model is called directly, using above-mentioned embodiment illustrated in fig. 1
Technical solution realizes the classification of rubbish.
The garbage classification processing method of the present embodiment can be with intelligence by using the garbage classification model of above scheme training
Energyization ground, the classification for being automatically realized rubbish, whole process do not need manually to participate in, and can effectively improve the classification effectiveness of rubbish,
And it can effectively guarantee the accuracy of garbage classification.
Fig. 4 is the flow chart of garbage classification processing method example IV of the invention.As shown in figure 4, the rubbish of the present embodiment
Rubbish classification processing method, can specifically include following steps:
S400, several training datas are acquired, includes characteristic information, the training rubbish of training rubbish in each training data
The known secondary classification of preliminary classification and training rubbish；Training rubbish characteristic information include trained rubbish contour images,
The compositional information of at least one of appearance images and apparent text information and training rubbish；
S401, characteristic information, corresponding preliminary classification and the known secondary classification that rubbish is trained according to each item, training are deep
Spend garbage classification model.
Specifically, if above-mentioned embodiment illustrated in fig. 3, in training garbage classification model, the characteristic information of each trained rubbish
At least one of contour images, appearance images and apparent text information including training rubbish, at this point, being directed to poison
The Harmful Waste such as product, drug can also further use the technical solution of the present embodiment, one depth garbage classification mould of training
Type realizes the secondary classification to rubbish.
It also, can that is, the range of the training rubbish of the present embodiment is less than the range of the training rubbish of above-mentioned embodiment illustrated in fig. 3
Think the Harmful Waste such as drugs, drug.
When specific training, the characteristic information of each item training rubbish and preliminary classification are input to depth garbage classification model
In, the depth garbage classification model can based on the characteristic information and preliminary classification of the training rubbish of existing parameter and input,
Predict the secondary classification of a rubbish.Then judge whether secondary classification and the known secondary classification of prediction are consistent, if inconsistent,
The parameter of percentage regulation garbage classification model, so that the secondary classification of depth garbage classification model prediction becomes with known secondary classification
In consistent.Classify using known to the characteristic information of several training rubbish, preliminary classification and corresponding second level, in the manner described above,
Constantly depth garbage classification model is trained, until frequency of training reaches preset times threshold value or continuous default wheel
The secondary classification predicted in several training is consistent with known secondary classification always, and training terminates at this time, determines depth garbage classification
The parameter of model, and then determine depth garbage classification model.
If the characteristic information of each item training rubbish of above-mentioned embodiment illustrated in fig. 3 does not include compositional information, at this point it is possible to base
It is real together in the garbage classification model of embodiment illustrated in fig. 3 training and the depth garbage classification model of embodiment illustrated in fig. 4 training
The garbage classification processing of existing embodiment illustrated in fig. 2.
Similarly, the executing subject of the garbage classification processing method of the present embodiment can be consistent with above-mentioned Fig. 2, by garbage classification
Processing unit comes together to realize.First garbage classification model and depth garbage classification model are carried out by refuse classification processing equipment
Training, is then also based on trained garbage classification model and depth garbage classification model by refuse classification processing equipment,
Using the technical solution of above-mentioned embodiment illustrated in fig. 2, the secondary classification of rubbish is realized.
Or the executing subject of the garbage classification processing method of the present embodiment, it may also be distinct from that and implement shown in above-mentioned Fig. 2
The executing subject of example is the training device of a garbage classification model independently of refuse classification processing equipment.When specifically used,
The garbage classification model and depth garbage classification model are first trained by the training device of garbage classification model, then at garbage classification
Device is managed when classifying to rubbish, calls directly trained garbage classification model and depth garbage classification model, is used
The technical solution of above-mentioned embodiment illustrated in fig. 2 realizes the secondary classification of rubbish.
The garbage classification processing method of the present embodiment can be with intelligence by using the garbage classification model of above scheme training
Energyization ground, the classification for being automatically realized rubbish, whole process do not need manually to participate in, and can effectively improve the classification effectiveness of rubbish,
And it can effectively guarantee the accuracy of garbage classification.
Fig. 5 is the structure chart of refuse classification processing equipment embodiment one of the invention.As shown in figure 5, the rubbish of the present embodiment
Rubbish classification processing device, can specifically include:
Acquisition module 10 is used to acquire the characteristic information of rubbish；The characteristic information of rubbish includes the contour images, outer of rubbish
See at least one of image, apparent text information and compositional information；
The characteristic information for the rubbish that categorization module 11 is used to be acquired according to acquisition module 10 and garbage classification trained in advance
Model obtains the classification of rubbish.
The refuse classification processing equipment of the present embodiment realizes the realization principle of garbage classification processing by using above-mentioned module
And technical effect is identical as the realization of above-mentioned related method embodiment, can refer to the note of above-mentioned related method embodiment in detail
It carries, details are not described herein.
Fig. 6 is the structure chart of refuse classification processing equipment embodiment two of the invention.As shown in fig. 6, the rubbish of the present embodiment
Rubbish classification processing device further introduces this hair on the basis of the technical solution of above-mentioned embodiment illustrated in fig. 5 in further detail
Bright technical solution.
In the refuse classification processing equipment of the present embodiment, acquisition module 10 is for executing following at least one:
Obtain the contour images of the rubbish of x-ray instrument scanning；
Obtain the appearance images of the rubbish of camera shooting；
Obtain the apparent text information that OCR Text region instrument identifies the appearance of rubbish；With
The spectral information of the rubbish of spectroanalysis instrument analysis is obtained, and the spectral information based on rubbish obtains the composition of rubbish
Information.
Optionally, in the refuse classification processing equipment of the present embodiment, categorization module 11 is used for:
The characteristic information of rubbish is input in garbage classification model trained in advance；
Obtain classification of the classification of the maximum probability of garbage classification model prediction as rubbish.
Still optionally further, as shown in fig. 6, in the refuse classification processing equipment of the present embodiment, further includes:
Judgment module 12 is used to judge categorization module 11 whether the classification of treated rubbish to belong to preset first kind danger
The classification of dangerous rubbish；
If alarm module 13 determines that the classification of rubbish is the classification of first kind dangerous garbage for judgment module 12, report is issued
Alert information.
Still optionally further, as shown in fig. 6, in the refuse classification processing equipment of the present embodiment, further includes:
Display module 14 is used to show categorization module 11 classification of treated rubbish.
It still optionally further, further include training module 15 as shown in fig. 6, in the refuse classification processing equipment of the present embodiment；
Acquisition module 10 is also used to acquire several training datas, in each training data the characteristic information of training rubbish and
The known classification of training rubbish；The characteristic information of each trained rubbish includes the contour images of trained rubbish, appearance images, in appearance
Text information and at least one of compositional information；
The characteristic information of the trained rubbish of each item that training module 15 is used to acquire according to acquisition module 10 and it is corresponding
Know classification, training garbage classification model.
Still optionally further, in another scene of the present embodiment, if judgment module 12 is also used to acquisition module 10 and adopts
Contour images, appearance images in the characteristic information of the rubbish of collection including rubbish and at least one in apparent text information
When a, the classification for the rubbish that categorization module 11 is obtained judges whether preliminary classification is preset second class as preliminary classification
The classification of dangerous garbage；
If acquisition module 10 is also used to the classification that preliminary classification is the second class dangerous garbage, the spectral information of rubbish is acquired；
And the spectral information based on rubbish obtains the compositional information of rubbish；
The contour images of rubbish that categorization module 11 is also used to be acquired according to acquisition module 10, appearance images and in appearance
At least one of text information and rubbish compositional information, preliminary classification and depth garbage classification mould trained in advance
Type obtains the secondary classification of rubbish.
At this time accordingly, acquisition module 10 is also used to acquire several training datas, includes training rubbish in each training data
The known secondary classification of the characteristic information of rubbish, the preliminary classification of training rubbish and training rubbish；The characteristic information of training rubbish
At least one of contour images, appearance images and apparent text information and training rubbish including training rubbish
Compositional information；
Training module 11 is also used to characteristic information, corresponding preliminary classification and known second level according to each item training rubbish
Classification, training depth garbage classification model.
Optionally, the acquisition module 10 of the present embodiment and training module 11 can also be separately formed a kind of garbage classification model
Training device, can be individually present.
The refuse classification processing equipment of the present embodiment realizes the realization principle of garbage classification processing by using above-mentioned module
And technical effect is identical as the realization of above-mentioned related method embodiment, can refer to the note of above-mentioned related method embodiment in detail
It carries, details are not described herein.
The structure chart of garbage classification system embodiment Fig. 7 of the invention.As shown in fig. 7, the garbage classification system of the present embodiment
System, the garbage classification device 20 including such as figure 5 above or embodiment illustrated in fig. 6；It further include x-ray instrument 21, camera 22, OCR
At least one of Text region instrument 23 and spectroanalysis instrument 24 and at least one communication module 25；Implement shown in Fig. 7
In example for including simultaneously x-ray instrument 21, camera 22, OCR Text region instrument 23 and spectroanalysis instrument 24.
Each communication module 25 is used for corresponding x-ray instrument 21, camera 22, OCR Text region instrument 23 or spectrum
The characteristic information of the collected rubbish of analyzer 24, is sent to garbage classification device.
Still optionally further, as shown in fig. 7, the garbage classification system of the present embodiment further includes transmission mechanism 26 and difference
For storing the treatment box 27 of the rubbish of each classification；
The classification for the rubbish that transmission mechanism 26 is used to be obtained according to garbage classification device 20 classifies waste transport to corresponding
Treatment box 27 in；And/or
Still optionally further, as shown in fig. 7, the garbage classification system of the present embodiment further includes memory module 28, for depositing
Store up the characteristic information of x-ray instrument 21, camera 22, OCR Text region instrument 23 and the collected rubbish of spectroanalysis instrument 24.
At this time accordingly, x-ray instrument 21, camera 22, OCR Text region instrument 23 and spectrum can be divided by each communication module 25
The characteristic information of the collected rubbish of analyzer 24, is transmitted in memory module 28 and stores.When carrying out garbage classification detection, directly
The characteristic information of the rubbish of acquisition is exported to garbage classification device 20 by memory module 28, so that garbage classification device 20 is adopted
The step of with above-mentioned related method embodiment, realizes the classification to rubbish.
The garbage classification system of the present embodiment can effectively classify to rubbish by using above-mentioned technical proposal,
Avoid the harm of rubbish.And the technical solution of the present embodiment, can intelligently, be automatically realized the classification of rubbish, it is whole not
It needs manually to participate in, the classification effectiveness of rubbish can be effectively improved, and the accuracy of garbage classification can be effectively guaranteed.
Fig. 8 is the structure chart of computer equipment embodiment of the invention.As shown in figure 8, the computer equipment of the present embodiment,
It include: one or more processors 30 and memory 40, memory 40 works as memory for storing one or more programs
The one or more programs stored in 40 are executed by one or more processors 30, so that one or more processors 30 are realized such as
Figure 1 above-embodiment illustrated in fig. 4 garbage classification processing method.In embodiment illustrated in fig. 8 for including multiple processors 30.
For example, Fig. 9 is a kind of exemplary diagram of computer equipment provided by the invention.Fig. 9, which is shown, to be suitable for being used to realizing this
The block diagram of the exemplary computer device 12a of invention embodiment.The computer equipment 12a that Fig. 9 is shown is only an example,
Should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 9, computer equipment 12a is showed in the form of universal computing device.The component of computer equipment 12a can
To include but is not limited to: one or more processor 16a, system storage 28a connect different system components (including system
Memory 28a and processor 16a) bus 18a.
Bus 18a indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Computer equipment 12a typically comprises a variety of computer system readable media.These media can be it is any can
The usable medium accessed by computer equipment 12a, including volatile and non-volatile media, moveable and immovable Jie
Matter.
System storage 28a may include the computer system readable media of form of volatile memory, such as deposit at random
Access to memory (RAM) 30a and/or cache memory 32a.Computer equipment 12a may further include it is other it is removable/
Immovable, volatile/non-volatile computer system storage medium.Only as an example, storage system 34a can be used for reading
Write immovable, non-volatile magnetic media (Fig. 9 do not show, commonly referred to as " hard disk drive ").Although being not shown in Fig. 9,
The disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided, and non-easy to moving
The CD drive that the property lost CD (such as CD-ROM, DVD-ROM or other optical mediums) is read and write.In these cases, each
Driver can be connected by one or more data media interfaces with bus 18a.System storage 28a may include at least
One program product, the program product have one group of (for example, at least one) program module, these program modules are configured to hold
The function of the above-mentioned each embodiment of Fig. 1-Fig. 6 of the row present invention.
Program with one group of (at least one) program module 42a/utility 40a, can store and deposit in such as system
In reservoir 28a, such program module 42a include --- but being not limited to --- operating system, one or more application program,
It may include the reality of network environment in other program modules and program data, each of these examples or certain combination
It is existing.Program module 42a usually executes the function and/or method in above-mentioned each embodiment of Fig. 1-Fig. 6 described in the invention.
Computer equipment 12a can also be with one or more external equipment 14a (such as keyboard, sensing equipment, display
24a etc.) communication, the equipment interacted with computer equipment 12a communication can be also enabled a user to one or more, and/or
(such as network interface card is adjusted with any equipment for enabling computer equipment 12a to be communicated with one or more of the other calculating equipment
Modulator-demodulator etc.) communication.This communication can be carried out by input/output (I/O) interface 22a.Also, computer equipment
12a can also by network adapter 20a and one or more network (such as local area network (LAN), wide area network (WAN) and/or
Public network, such as internet) communication.As shown, network adapter 20a passes through its of bus 18a and computer equipment 12a
The communication of its module.It should be understood that although not shown in the drawings, other hardware and/or software can be used in conjunction with computer equipment 12a
Module, including but not limited to: microcode, device driver, redundant processor, external disk drive array, RAID system, tape
Driver and data backup storage system etc..
Processor 16a by the program that is stored in system storage 28a of operation, thereby executing various function application and
Data processing, such as realize garbage classification processing method shown in above-described embodiment.
The present invention also provides a kind of computer-readable mediums, are stored thereon with computer program, which is held by processor
The garbage classification processing method as shown in above-described embodiment is realized when row.
The computer-readable medium of the present embodiment may include in the system storage 28a in above-mentioned embodiment illustrated in fig. 7
RAM30a, and/or cache memory 32a, and/or storage system 34a.
With the development of science and technology, the route of transmission of computer program is no longer limited by tangible medium, it can also be directly from net
Network downloading, or obtained using other modes.Therefore, the computer-readable medium in the present embodiment not only may include tangible
Medium can also include invisible medium.
The computer-readable medium of the present embodiment can be using any combination of one or more computer-readable media.
Computer-readable medium can be computer-readable signal media or computer readable storage medium.Computer-readable storage medium
Matter for example may be-but not limited to-system, device or the device of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or
Any above combination of person.The more specific example (non exhaustive list) of computer readable storage medium includes: with one
Or the electrical connections of multiple conducting wires, portable computer diskette, hard disk, random access memory (RAM), read-only memory (ROM),
Erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light
Memory device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer readable storage medium can
With to be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
Person is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Transmission is for by the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.In
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
It is each that equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute the present invention
The part steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. it is various
It can store the medium of program code.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.
Claims (20)
1. a kind of garbage classification processing method, which is characterized in that the described method includes:
Acquire the characteristic information of rubbish；The characteristic information of the rubbish includes the contour images of the rubbish, appearance images, appearance
On text information and at least one of compositional information；
Garbage classification model trained according to the characteristic information of the rubbish and in advance, obtains the classification of the rubbish.
2. the method according to claim 1, wherein acquiring the characteristic information of rubbish, including following at least one:
Obtain the contour images of the rubbish of x-ray instrument scanning；
Obtain the appearance images of the rubbish of camera shooting；
Obtain the apparent text information that OCR Text region instrument identifies the appearance of the rubbish；With
The spectral information of the rubbish of spectroanalysis instrument analysis is obtained, and the rubbish is obtained based on the spectral information of the rubbish
The compositional information of rubbish.
3. the method according to claim 1, wherein rubbish trained according to the characteristic information of the rubbish and in advance
Rubbish disaggregated model obtains the classification of the rubbish, comprising:
The characteristic information of the rubbish is input in garbage classification model trained in advance；
Obtain classification of the classification of the maximum probability of the garbage classification model prediction as the rubbish.
4. the method according to claim 1, wherein rubbish trained according to the characteristic information of the rubbish and in advance
Rubbish disaggregated model, after the classification for obtaining the rubbish, the method also includes:
Judge whether the classification of the rubbish belongs to the classification of preset first kind dangerous garbage；
If so, alert.
5. the method according to claim 1, wherein rubbish trained according to the characteristic information of the rubbish and in advance
Rubbish disaggregated model, after the classification for obtaining the rubbish, the method also includes:
Show the classification of the rubbish.
6. the method according to claim 1, wherein rubbish trained according to the characteristic information of the rubbish and in advance
Rubbish disaggregated model, before the classification for obtaining the rubbish, the method also includes:
Several training datas are acquired, the characteristic information and the trained rubbish for training rubbish in training data described in each item are
Know classification；The characteristic information of each trained rubbish includes contour images, appearance images, the apparent text of the trained rubbish
At least one of word information and compositional information；
The characteristic information of training rubbish according to each item and the corresponding known classification, the trained garbage classification mould
Type.
7. according to claim 1 or claim 2, which is characterized in that if including described in the characteristic information of the rubbish
When at least one in the contour images of rubbish, appearance images and apparent text information, according to the feature of the rubbish
Information and garbage classification model trained in advance, after the classification for obtaining the rubbish, the method also includes:
Using the classification of the rubbish as preliminary classification, judge whether the preliminary classification is preset second class dangerous garbage
Classification；
If so, acquiring the spectral information of the rubbish；And the spectral information based on the rubbish obtains the composition letter of the rubbish
Breath；
According at least one of the contour images of the rubbish, appearance images and apparent text information and the rubbish
The compositional information of rubbish, the preliminary classification and depth garbage classification model trained in advance, obtain two fractions of the rubbish
Class.
8. the method according to the description of claim 7 is characterized in that according to the contour images of the rubbish, appearance images and
The compositional information of at least one of apparent text information and the rubbish, the preliminary classification and in advance training
Depth garbage classification model, before the secondary classification for obtaining the rubbish, the method also includes:
Several training datas are acquired, include characteristic information, the trained rubbish of training rubbish in training data described in each item
The known secondary classification of preliminary classification and the trained rubbish；The characteristic information of the trained rubbish includes the wheel of trained rubbish
The compositional information of at least one of wide image, appearance images and apparent text information and the trained rubbish；
The training characteristic information of rubbish, the corresponding preliminary classification according to each item and the known secondary classification, are instructed
Practice the depth garbage classification model.
9. a kind of refuse classification processing equipment, which is characterized in that described device includes:
Acquisition module, for acquiring the characteristic information of rubbish；The characteristic information of the rubbish include the rubbish contour images,
At least one of appearance images, apparent text information and compositional information；
Categorization module obtains the rubbish for the characteristic information and garbage classification model trained in advance according to the rubbish
Classification.
10. device according to claim 9, which is characterized in that the acquisition module, for executing following at least one:
Obtain the contour images of the rubbish of x-ray instrument scanning；
Obtain the appearance images of the rubbish of camera shooting；
Obtain the apparent text information that OCR Text region instrument identifies the appearance of the rubbish；With
The spectral information of the rubbish of spectroanalysis instrument analysis is obtained, and the rubbish is obtained based on the spectral information of the rubbish
The compositional information of rubbish.
11. device according to claim 9, which is characterized in that the categorization module is used for:
The characteristic information of the rubbish is input in garbage classification model trained in advance；
Obtain classification of the classification of the maximum probability of the garbage classification model prediction as the rubbish.
12. device according to claim 9, which is characterized in that described device further include:
Judgment module, for judging whether the classification of the rubbish belongs to the classification of preset first kind dangerous garbage；
Alarm module, if the classification for the rubbish is the classification of the first kind dangerous garbage, alert.
13. device according to claim 9, which is characterized in that described device further include:
Display module, for showing the classification of the rubbish.
14. device according to claim 12, which is characterized in that described device further includes training module；
The acquisition module is also used to acquire several training datas, the characteristic information of training rubbish in training data described in each item
And the known classification of the trained rubbish；The characteristic information of each trained rubbish includes the profile diagram of the trained rubbish
At least one of picture, appearance images, apparent text information and compositional information；
The training module is instructed for the characteristic information of training rubbish according to each item and the corresponding known classification
Practice the garbage classification model.
15. device according to claim 14, it is characterised in that:
The judgment module, if being also used to the contour images in the characteristic information of the rubbish including the rubbish, appearance images
And when at least one in apparent text information, using the classification of the rubbish as preliminary classification, judge the primary
Classification whether be preset second class dangerous garbage classification；
The acquisition module acquires the rubbish if being also used to the classification that the preliminary classification is the second class dangerous garbage
Spectral information；And the spectral information based on the rubbish obtains the compositional information of the rubbish；
The categorization module is also used to according in the contour images of the rubbish, appearance images and apparent text information
At least one and the rubbish compositional information, the preliminary classification and depth garbage classification model trained in advance, obtain
Take the secondary classification of the rubbish.
16. device according to claim 15, it is characterised in that:
The acquisition module, is also used to acquire several training datas, includes the feature of training rubbish in training data described in each item
The known secondary classification of information, the preliminary classification of the trained rubbish and the trained rubbish；The feature of the trained rubbish
Information includes at least one of contour images, appearance images and apparent text information of trained rubbish and the instruction
Practice the compositional information of rubbish；
The training module, be also used to according to each item the characteristic information of training rubbish, the corresponding preliminary classification and
The known secondary classification, the training depth garbage classification model.
17. a kind of garbage classification system, which is characterized in that the garbage classification system includes any institute of claim 9-16 as above
The garbage classification device stated；It further include at least one in x-ray instrument, camera, OCR Text region instrument and spectroanalysis instrument
A and at least one communication module；
Each communication module, for by the corresponding x-ray instrument, the camera, the OCR Text region instrument or
The characteristic information of the collected rubbish of spectroanalysis instrument, is sent to the garbage classification device.
18. the system according to claim 17, which is characterized in that use the system also includes transmission mechanism and respectively
In the treatment box for the rubbish for storing each classification；
The transmission mechanism, for the classification according to rubbish, by the waste transport to the treatment box of the correspondence classification
In；And/or
The system also includes memory modules, for storing the x-ray instrument, the camera, the OCR Text region instrument
And the characteristic information of the collected rubbish of spectroanalysis instrument.
19. a kind of computer equipment, which is characterized in that the equipment includes:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
Now such as method described in any one of claims 1-8.
20. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that the program is executed by processor
Shi Shixian method for example described in any one of claims 1-8.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111115045A (en) * | 2019-12-20 | 2020-05-08 | 广州金域医学检验中心有限公司 | Method for classifying medical waste and medical waste classification device |
| CN111144259A (en) * | 2019-12-18 | 2020-05-12 | 重庆特斯联智慧科技股份有限公司 | HMM model-based community pollutant processing method and system |
| CN111598011A (en) * | 2020-05-19 | 2020-08-28 | 科大讯飞股份有限公司 | Garbage classification processing method, related equipment and readable storage medium |
| CN112027396A (en) * | 2020-07-29 | 2020-12-04 | 深圳市修远文化创意有限公司 | Put in thing sorter |
| CN113435514A (en) * | 2021-06-29 | 2021-09-24 | 同济大学 | Construction waste fine classification method and device based on meta-deep learning |
| CN113609359A (en) * | 2021-07-30 | 2021-11-05 | 建信金融科技有限责任公司 | Garbage classification method, device, equipment and readable storage medium |
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2019
- 2019-07-08 CN CN201910610019.0A patent/CN110458193A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111144259A (en) * | 2019-12-18 | 2020-05-12 | 重庆特斯联智慧科技股份有限公司 | HMM model-based community pollutant processing method and system |
| CN111144259B (en) * | 2019-12-18 | 2022-12-23 | 重庆特斯联智慧科技股份有限公司 | HMM model-based community pollutant processing method and system |
| CN111115045A (en) * | 2019-12-20 | 2020-05-08 | 广州金域医学检验中心有限公司 | Method for classifying medical waste and medical waste classification device |
| CN111598011A (en) * | 2020-05-19 | 2020-08-28 | 科大讯飞股份有限公司 | Garbage classification processing method, related equipment and readable storage medium |
| CN112027396A (en) * | 2020-07-29 | 2020-12-04 | 深圳市修远文化创意有限公司 | Put in thing sorter |
| CN113435514A (en) * | 2021-06-29 | 2021-09-24 | 同济大学 | Construction waste fine classification method and device based on meta-deep learning |
| CN113609359A (en) * | 2021-07-30 | 2021-11-05 | 建信金融科技有限责任公司 | Garbage classification method, device, equipment and readable storage medium |
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